scholarly journals ON APPROACH FOR THE IMPLEMENTATION OF DATA MINING TO BUSINESS PROCESS OPTIMISATION IN COMMERCIAL COMPANIES

2013 ◽  
Vol 19 (2) ◽  
pp. 237-256 ◽  
Author(s):  
Aleksander Pick ◽  
Olegas Vasilecas ◽  
Diana Kalibatienė ◽  
Rok Rupnik
Keyword(s):  
Data Mining ◽  
Customer Service ◽  
Business Process ◽  
Human Error ◽  
Business Processes ◽  
Process Optimisation ◽  
Suggested Approach ◽  
Business Process Intelligence ◽  
Manual Adjustment

Nowadays, organisations aim to automate their business processes to improve operational efficiency, reduce costs, improve the quality of customer service and reduce the probability of human error. Business process intelligence aims to apply data warehousing, data analysis and data mining techniques to process execution data, thus enabling the analysis, interpretation, and optimisation of business processes. Data mining approaches are especially effective in helping us to extract insights into customer behaviour, habits, potential needs and desires, credit associated risks, fraudulent transactions and etc. However, the integration of data mining into business processes still requires a lot of coordination and manual adjustment. This paper aims at reducing this effort by reusing successful data mining solutions. We propose an approach for implementation of data mining into a business process. The confirmation of the suggested approach is based on the results achieved in eight commercial companies, covering different industries, such as telecommunications, banking and retail.

Path Mining in Web Processes Using Profiles

2011 ◽  
pp. 896-901 ◽  
Author(s):  
Jorge Cardoso
Keyword(s):  
Data Mining ◽  
Quality Of Service ◽  
Business Process ◽  
Management System ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Data Mining Techniques ◽  
Using Data

Business process management systems (BPMSs) (Smith & Fingar, 2003) provide a fundamental infrastructure to define and manage business processes, Web processes, and workflows. When Web processes and workflows are installed and executed, the management system generates data describing the activities being carried out and is stored in a log. This log of data can be used to discover and extract knowledge about the execution of processes. One piece of important and useful information that can be discovered is related to the prediction of the path that will be followed during the execution of a process. I call this type of discovery path mining. Path mining is vital to algorithms that estimate the quality of service of a process, because they require the prediction of paths. In this work, I present and describe how process path mining can be achieved by using data-mining techniques.

Impact of Business Process Re-Engineering (BPR) Implementation on Customer Satisfaction in E-Commerce Companies

2018 ◽  
Vol 16 (4) ◽  
pp. 41-52
Author(s):  
Gutama Kusse Getele ◽  
Arrive Tsitaire Jean
Keyword(s):  
Customer Satisfaction ◽  
Random Sample ◽  
Customer Service ◽  
Business Process ◽  
Primary Data ◽  
Survey Questionnaire ◽  
Time Saving ◽  
Before And After

The objective of this article is to analyse the implementation of BPR in e-commerce platforms by measuring the level of customer satisfaction. The issues tested involve: how customers perceive the BPR objectives in e-commerce platforms; time used for diverse transactions before and after BPR; awareness and usage of BPR services provided by e-commerce platforms; satisfaction about the e-commerce platform services after BPR; BPR impact on customers, employees and e-commerce platform performance; advantages of BPR in e-commerce platforms and; difficulties faced by the customers after BPR in the e-commerce platform. Primary data was used through a survey questionnaire on a random sample of 402 student customers of Taobao and JD.com. The results found that time saving is significantly positive on implementation of BPR; following customers perceived a better quality of customer service. The sample student customers perceived that the BPR has a greater impact on customers than on employees, as well as on the performance of a platform.

scholarly journals Business Process Improvement of Production Systems Using Coloured Petri Nets

2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Production Systems ◽  
Coloured Petri Nets ◽  
Manufacturing Companies ◽  
Fundamental Factor ◽  
Bottleneck Analysis

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

Ontology-Based Framework for Quality in Configurable Process Models

2020 ◽  
pp. 464-478
Author(s):  
Loubna El Faquih ◽  
Mounia Fredj
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Business Processes ◽  
Research Work ◽  
Process Models ◽  
Novel Method ◽  
Ontology Languages ◽  
Variability Management

In recent years, business process modeling has increasingly drawn the attention of enterprises. As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse. The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model. Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted. Most of research work is limited to the syntactic quality of process variants. The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages. We define validation rules for assessing the quality of configurable process models. An example in the e-healthcare domain illustrates the main steps of our approach.

Business Process Reuse and Standardization with P2P Technologies

2010 ◽  
pp. 516-529 ◽  
Author(s):  
José A. Rodrigues Nt ◽  
Jano Moreira de Souza ◽  
Geraldo Zimbrão ◽  
Geraldo Xexéo ◽  
Mutaleci Miranda
Keyword(s):  
Information Technology ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Human Factor ◽  
Peer To Peer ◽  
Integrated System ◽  
Process Models ◽  
Cultural Changes

Business Process Management (BPM) brings together the idea of effectively managing organizations and properly using Information Technology to fulfill organizations’ needs. For this purpose, BPM systems are largely used nowadays. However, most process models are started from scratch, not having reuse promoted. Sometimes, large enterprises have the same business process implemented in a variety of ways due to differences in their departmental cultures or environments, even when using a unique integrated system. Additionally, although technology plays an important role in actually improving organizations, the human factor is still fundamental, since any improvement attempt goes through cultural changes. In this chapter, a peer-to-peer (P2P) tool is proposed as a way to cooperatively develop business processes models, minimizing the time needed to develop such models, reducing the differences among similar processes conducted in distinct organizational units, enhancing the quality of models, promoting reuse, and distributing knowledge.

Social Software for Business Process Modeling

2010 ◽  
Vol 25 (3) ◽  
pp. 308-322
Author(s):  
Agnes Koschmider ◽  
Minseok Song ◽  
Hajo A Reijers
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Business Processes ◽  
Social Software ◽  
Modeling Process ◽  
Single Person ◽  
Formal Business

Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborative fashion, the building of the final, formal process model is done mostly by a single person. This article presents the design and Implementation of a Recommendation-Based Process Modeling Support System with ‘social features.’ A process builder using this system will receive recommendations to complete or edit a formal business process model on the basis of previous usage of modeling fragments by her peers. Such features potentially Improve the modeling process and, as such, the modeling outcome, that is, the quality of the process model. This article also contains an evaluation of the system's usage and effectiveness, which builds on an experimental design. It is shown that process builders are inclined to follow up on the provided recommendations and that this will improve the semantical quality of the created model. However, Information on peer usage of modeling fragments does not play a big role in selecting the recommendations being followed up. This article fits within a stream of research that puts emphasis on the modeling process, rather than on the model artifact.

Penerapan Metode Rational Unified Process pada Aplikasi Monitoring Periodic Service Alat Berat

2017 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Putri Kusuma Wardani
Keyword(s):  
Data Processing ◽  
Customer Service ◽  
Human Error ◽  
Processing Time ◽  
System Development ◽  
General Information ◽  
Heavy Machinery ◽  
Unified Process ◽  
Monitoring Application

<p class="AbstractText">Product Support is one of the divisions in the company who deliver technical support to customers, especially in terms of after sales service. Commonly, the data obtained by the product support division at PT Hexindo Adiperkasa Tbk is still a general information concerning the units owned by the company. This data needs to be analyzed and then reprocessed using an application such as Excel spreadsheets to find out the periodic service of heavy machinery in each period, in order that the data processing time is relatively longer and allow for errors or human error. In addition, the data processing tends to be ineffective.</p><p class="AbstractText">This research aims to design a "Application Monitoring of Periodic Services Heavy Machinery" that can help companies monitor the periodic service of heavy machinery better by using the programming language PHP and MySQL as the database.</p><p class="AbstractText">The results of this research to build a monitoring application using the method of system development RUP (Rational Unified Process) to determine schedule of periodic service heavy machinery in order to processing the information would be more appropriate, effective, and efficiency can improve the quality of customer service.</p>

scholarly journals Perancangan Sistem Informasi Penjualan, Produksi dan Persediaan pada PT Triwarna Eka Multimedia

2014 ◽  
Vol 5 (2) ◽  
pp. 983
Author(s):  
Stephanie Surja ◽  
Lius Steven Sanjaya
Keyword(s):  
Information System ◽  
Business Process ◽  
Human Error ◽  
Business Processes ◽  
Unified Modeling Language ◽  
Current Data ◽  
Integrated System ◽  
Unified Modeling ◽  
Physical Data ◽  
And Storage

The idea to design an information system in PT Triwarna Eka Multimedia arises because of the current information system is still very traditional and it has an enormous dependency to physical data. Designing of an information system in PT Triwarna Eka Multimedia is aimed to identify the organization needs in managing their business process operational related to current data of sales, production and inventory. The result from those processes is aimed to build an integrated system that can meet all of the organization’s needs in running their daily business process and facing the rivalry from the competitors. The method used in this paper is a survey, literature review, and analysis of current business processes in the company These needs will be documented by using unified modeling language. This information system makes all the current operational business activities easier with the more enhanced automation than the previous information system. This system will also minimize the data lost and human error, which is usually cause by the manual process and storage data of physical data.

Big data analysis on the business process and management for the store layout and bundling sales

2019 ◽  
Vol 25 (7) ◽  
pp. 1783-1801 ◽  
Author(s):  
Shu-hsien Liao ◽  
Yi-Shan Tasi
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analysis ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Analysis Data ◽  
Database System ◽  
Big Data Analysis ◽  
Content Type

Purpose In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue. Design/methodology/approach This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system. Findings Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development. Originality/value This research paper is an example to develop the BPM of database model and big data/data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry.

High-Quality Business Processes Based on Multi-Dimensional QoS

2012 ◽  
pp. 152-171 ◽  
Author(s):  
Qianhui Liang ◽  
Michael Parkin
Keyword(s):  
Quality Of Service ◽  
Business Process ◽  
Business Processes ◽  
Heuristic Algorithms ◽  
Optimal Choice ◽  
Optimal Configuration ◽  
Functional Requirements ◽  
Services Research ◽  
High Quality

An important area of services research gathering momentum is the ability to take a generic business process and instantiate it by selecting services that meet both the functional and non-functional requirements of the process owner. These non-functional or quality-of-service (QoS) requirements may describe essential performance and dependability requirements and apply across different logical layers of the application, from business-related details to system infrastructure; i.e., they are cross-cutting and considered multidimensional. Configuring an abstract business process with the “best” services to meet the process owner’s multidimensional end-to-end QoS requirements is a challenging task as there may be many services that match to the functional requirements but provide differentiated QoS characteristics. In this chapter we explore an approach to discover services, differentiated by their QoS attributes, to configure an abstract business process by selecting an optimal configuration of the “best” QoS combinations. The approach considered takes into account the optimal choice of multi-dimensional QoS variables. We present and compare two solutions based on heuristic algorithms to illustrate how this approach would work practically.

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